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Strong programming skills in languages commonly used in bioinformatics and data science, such as Python and R. Ability to write efficient, modular, and maintainable code for data manipulation, analysis, and visualization.
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Master’s degree in Business, Economics, Finance, Accounting, Public Policy/Administration, Computer/Data Science, Mathematics, Management Information Systems , or related field from an accredited college or university.
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Master's degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, Machine Learning, Artificial Intelligence, Cognitive Science or other quantitative fields or foreign equivalent.
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Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
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Fields of Data Management, Geology, Geophysics, Reservoir Management, Petroleum Engineering, MIS, or Computer Science are especially preferred. Experience with data platforms and applications such as IHS EDM, Landmark CDS, Quorum TDM, Informatica MDM, Openworks, OSDU, and Snowflake.
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Having experience with productizing machine learning models within a cloud service (e.g., AWS, Azure, GCP) and data science environments (e.g., Databricks) is a plus. You have 2-5 years of successful technical experience in the domain of predictive analytics (e.g. data science, machine learning, data mining, and statistics related work); preferably in the Oil & Gas industry.
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Coding or programming skills for geospatial, data, and image science analysis. Provide advanced science services and technology products to a range of human exploration organizations including Artemis, Gateway, Orion, the lander/ascent systems, spacesuits, EVA, and ISS.
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A master's degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 - 7 years' experience in data science or a similar role. The Lead Data Scientist will spearhead the design, development, implementation and maintenance and improvement of advanced data science initiatives across business units, directly aligning with strategic objectives.
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The 4 years of experience must include experience with AngularJS; Typescript; Python; Plotly; Linux; Perl; Flask; API; SQL; Anova (Analysis of Variance); Regression and Correlation Analysis; Exponential Smoothing; Tableau; ETL; Data Visualization (Dash); Microservices; and Git. Must have a Master’s Degree, or foreign educational equivalent, in Computer Science, Management Information Systems, or other closely related IT field.
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You will work closely with colleagues across the Risk Adjustment business, data science, and data analytics teams to develop new assets, data solutions, and pipelines while following best practices and data governance standards.
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The Lead Data Scientist at The Friedkin Group (TFG) will spearhead the design, development, implementation and maintenance and improvement of advanced data science initiatives across business units, directly aligning with strategic objectives.
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These projects should be targeted to enable multiple business processes and/or source data systems to drive efficiencies and reduce redundancies supporting one or more of the following functions: internal audit, compliance, enterprise risk management, operational risk management, technology risk management, third party risk management, cyber security, business resiliency, incident management, SOX (and/or other compliance frameworks), or other business programs/initiatives.
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We welcome applications from diverse multi-disciplinary battery research and data science background. PhD or Master’s in computer science (or related fields) and 3-5 years of experience in Artificial Intelligence (AI) and Machine Learning (ML), Data Science, Data Engineering, Data Mining, ML Operations (MLOps), and related fields.
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Foster a culture of innovation and continuous improvement and lead the exploration and adoption of new data science technologies and methodologies to contribute to the advancement of TFGs analytics expertise.
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Experience with data science tools such as Python, R, PyTorch, TensorFlow, Kera's, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as Sage Maker, Databricks, and Dataiku.
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data science jobs Company: Argus Services Corporation in Houston, MN, Canada
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